David Weir

Also published as: D. J. Weir, David J. Weir, David Wei


2020

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Leveraging HTML in Free Text Web Named Entity Recognition
Colin Ashby | David Weir
Proceedings of the 28th International Conference on Computational Linguistics

HTML tags are typically discarded in free text Named Entity Recognition from Web pages. We investigate whether these discarded tags might be used to improve NER performance. We compare Text+Tags sentences with their Text-Only equivalents, over five datasets, two free text segmentation granularities and two NER models. We find an increased F1 performance for Text+Tags of between 0.9% and 13.2% over all datasets, variants and models. This performance increase, over datasets of varying entity types, HTML density and construction quality, indicates our method is flexible and adaptable. These findings imply that a similar technique might be of use in other Web-aware NLP tasks, including the enrichment of deep language models.

2017

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Improving Semantic Composition with Offset Inference
Thomas Kober | Julie Weeds | Jeremy Reffin | David Weir
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Count-based distributional semantic models suffer from sparsity due to unobserved but plausible co-occurrences in any text collection. This problem is amplified for models like Anchored Packed Trees (APTs), that take the grammatical type of a co-occurrence into account. We therefore introduce a novel form of distributional inference that exploits the rich type structure in APTs and infers missing data by the same mechanism that is used for semantic composition.

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When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases
Julie Weeds | Thomas Kober | Jeremy Reffin | David Weir
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers

Non-compositional phrases such as red herring and weakly compositional phrases such as spelling bee are an integral part of natural language (Sag, 2002). They are also the phrases that are difficult, or even impossible, for good compositional distributional models of semantics. Compositionality detection therefore provides a good testbed for compositional methods. We compare an integrated compositional distributional approach, using sparse high dimensional representations, with the ad-hoc compositional approach of applying simple composition operations to state-of-the-art neural embeddings.

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One Representation per Word - Does it make Sense for Composition?
Thomas Kober | Julie Weeds | John Wilkie | Jeremy Reffin | David Weir
Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications

In this paper, we investigate whether an a priori disambiguation of word senses is strictly necessary or whether the meaning of a word in context can be disambiguated through composition alone. We evaluate the performance of off-the-shelf single-vector and multi-sense vector models on a benchmark phrase similarity task and a novel task for word-sense discrimination. We find that single-sense vector models perform as well or better than multi-sense vector models despite arguably less clean elementary representations. Our findings furthermore show that simple composition functions such as pointwise addition are able to recover sense specific information from a single-sense vector model remarkably well.

2016

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Improving Sparse Word Representations with Distributional Inference for Semantic Composition
Thomas Kober | Julie Weeds | Jeremy Reffin | David Weir
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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A critique of word similarity as a method for evaluating distributional semantic models
Miroslav Batchkarov | Thomas Kober | Jeremy Reffin | Julie Weeds | David Weir
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP

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Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
David Weir | Julie Weeds | Jeremy Reffin | Thomas Kober
Computational Linguistics, Volume 42, Issue 4 - December 2016

2015

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Optimising Agile Social Media Analysis
Thomas Kober | David Weir
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

2014

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Learning to Predict Distributions of Words Across Domains
Danushka Bollegala | David Weir | John Carroll
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Distributional Composition using Higher-Order Dependency Vectors
Julie Weeds | David Weir | Jeremy Reffin
Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC)

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Learning to Distinguish Hypernyms and Co-Hyponyms
Julie Weeds | Daoud Clarke | Jeremy Reffin | David Weir | Bill Keller
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers

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Method51 for Mining Insight from Social Media Datasets
Simon Wibberley | David Weir | Jeremy Reffin
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations

2013

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Language Technology for Agile Social Media Science
Simon Wibberley | David Weir | Jeremy Reffin
Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

2011

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Algebraic Approaches to Compositional Distributional Semantics
Daoud Clarke | David Weir | Rudi Lutz
Proceedings of the Ninth International Conference on Computational Semantics (IWCS 2011)

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Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification
Danushka Bollegala | David Weir | John Carroll
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Dependency Parsing Schemata and Mildly Non-Projective Dependency Parsing
Carlos Gómez-Rodríguez | John Carroll | David Weir
Computational Linguistics, Volume 37, Issue 3 - September 2011

2010

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Semantic Composition with Quotient Algebras
Daoud Clarke | Rudi Lutz | David Weir
Proceedings of the 2010 Workshop on GEometrical Models of Natural Language Semantics

2009

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Parsing Mildly Non-Projective Dependency Structures
Carlos Gómez-Rodríguez | David Weir | John Carroll
Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)

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Optimal Reduction of Rule Length in Linear Context-Free Rewriting Systems
Carlos Gómez-Rodríguez | Marco Kuhlmann | Giorgio Satta | David Weir
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

2008

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A Deductive Approach to Dependency Parsing
Carlos Gómez-Rodríguez | John Carroll | David Weir
Proceedings of ACL-08: HLT

2007

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Modelling control in generation
Roger Evans | David Weir | John Carroll | Daniel Paiva | Anja Belz
Proceedings of the Eleventh European Workshop on Natural Language Generation (ENLG 07)

2005

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Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity
Julie Weeds | David Weir
Computational Linguistics, Volume 31, Number 4, December 2005

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The Distributional Similarity of Sub-Parses
Julie Weeds | David Weir | Bill Keller
Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment

2004

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Characterising Measures of Lexical Distributional Similarity
Julie Weeds | David Weir | Diana McCarthy
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics

2003

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A General Framework for Distributional Similarity
Julie Weeds | David Weir
Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing

2002

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Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark | David Weir
Computational Linguistics, Volume 28, Number 2, June 2002

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Evaluation of LTAG Parsing with Supertag Compaction
Olga Shaumyan | John Carroll | David Weir
Proceedings of the Sixth International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+6)

2001

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D-Tree Substitution Grammars
Owen Rambow | K. Vijay-Shanker | David Weir
Computational Linguistics, Volume 27, Number 1, March 2001

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Class-Based Probability Estimation Using a Semantic Hierarchy
Stephen Clark | David Weir
Second Meeting of the North American Chapter of the Association for Computational Linguistics

2000

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A Class-based Probabilistic approach to Structural Disambiguation
Stephen Clark | David Weir
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

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Engineering a Wide-Coverage Lexicalized Grammar
John Carroll | Nicolas Nicolov | Olga Shaumyan | Martine Smets | David Weir
Proceedings of the Fifth International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+5)

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Proceedings of the Sixth International Workshop on Parsing Technologies

1999

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Parsing with an Extended Domain of Locality
John Carroll | Nicolas Nicolov | Olga Shaumyan | Martine Smets | David Weir
Ninth Conference of the European Chapter of the Association for Computational Linguistics

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An Iterative Approach to Estimating Frequencies over a Semantic Hierarchy
Stephen Clark | David Weir
1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora

1998

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A structure-sharing parser for lexicalized grammars
Roger Evans | David Weir
COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics

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A Structure-sharing Parser for Lexicalized Grammars
Roger Evans | David Weir
36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Volume 1

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The LexSys project
John Carroll | Nicolas Nicolov | Olga Shaumyan | Martine Smets | David Weir
Proceedings of the Fourth International Workshop on Tree Adjoining Grammars and Related Frameworks (TAG+4)

1997

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Encoding Frequency Information in Lexicalized Grammars
John Carroll | David Weir
Proceedings of the Fifth International Workshop on Parsing Technologies

We address the issue of how to associate frequency information with lexicalized grammar formalisms, using Lexicalized Tree Adjoining Grammar as a representative framework. We consider systematically a number of alternative probabilistic frameworks, evaluating their adequacy from both a theoretical and empirical perspective using data from existing large treebanks. We also propose three orthogonal approaches fo r backing off probability estimates to cope with the large number of parameters involved.

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Automaton-based Parsing for Lexicalised Grammars
Roger Evans | David Weir
Proceedings of the Fifth International Workshop on Parsing Technologies

In wide-coverage lexicalized grammars many of the elementary structures have substructures in common. This means that during parsing some of the computation associated with different structures is duplicated. This paper explores ways in which the grammar can be precompiled into finite state automata so that some of this shared structure results in shared computation at run-time.

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Proceedings of the Fifth International Workshop on Parsing Technologies

1995

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Parsing D-Tree Grammars
K. Vijay-Shanker | David Weir | Owen Rambow
Proceedings of the Fourth International Workshop on Parsing Technologies

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Encoding Lexicalized Tree Adjoining Grammars with a Nonmonotonic Inheritance Hierarchy
Roger Evans | Gerald Gazdar | David Weir
33rd Annual Meeting of the Association for Computational Linguistics

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D-Tree Grammars
Owen Rambow | K. Vijay-Shanker | David Weir
33rd Annual Meeting of the Association for Computational Linguistics

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A Tractable Extension of Linear Indexed Grammars
Bill Keller | David Weir
Seventh Conference of the European Chapter of the Association for Computational Linguistics

1993

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Parsing Some Constrained Grammar Formalisms
K Vijay-Shanker | David J. Weir
Computational Linguistics, Volume 19, Number 4, December 1993

1992

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Linear Context-Free Rewriting Systems and Deterministic Tree-Walking Transducers
David J. Weir
30th Annual Meeting of the Association for Computational Linguistics

1990

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Multicomponent Tree Adjoining Grammars
David Weir
Proceedings of the First International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+1)

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Parallel TAG Parsing on the Connection Machine
Michael Palis | David Wei
Proceedings of the First International Workshop on Tree Adjoining Grammar and Related Frameworks (TAG+1)

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Polynomial Time Parsing of Combinatory Categorial Grammars
K. Vijay-Shanker | David J. Weir
28th Annual Meeting of the Association for Computational Linguistics

1989

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Recognition of Combinatory Categorial Grammars and Linear Indexed Grammars
K. Vijay-Shanker | David J. Weir
Proceedings of the First International Workshop on Parsing Technologies

1988

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Combinatory Categorial Grammars: Generative Power and Relationship to Linear Context-Free Rewriting Systems
David J. Weir | Aravind K. Joshi
26th Annual Meeting of the Association for Computational Linguistics

1987

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Characterizing Structural Descriptions Produced by Various Grammatical Formalisms
K. Vijay-Shanker | David J. Weir | Aravind K. Joshi
25th Annual Meeting of the Association for Computational Linguistics

1986

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Tree Adjoining and Head Wrapping
K. Vijay-Shanker | David J. Weir | Aravind K. Joshi
Coling 1986 Volume 1: The 11th International Conference on Computational Linguistics

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The Relationship Between Tree Adjoining Grammars And Head Grammars
D. J. Weir | K. Vijay-Shanker | A. K. Joshi
24th Annual Meeting of the Association for Computational Linguistics