Gabor Angeli


2019

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Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue
Justin Dieter | Tian Wang | Arun Tejasvi Chaganty | Gabor Angeli | Angel X. Chang
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)

Reflective listening–demonstrating that you have heard your conversational partner–is key to effective communication. Expert human communicators often mimic and rephrase their conversational partner, e.g., when responding to sentimental stories or to questions they don’t know the answer to. We introduce a new task and an associated dataset wherein dialogue agents similarly mimic and rephrase a user’s request to communicate sympathy (I’m sorry to hear that) or lack of knowledge (I do not know that). We study what makes a rephrasal response good against a set of qualitative metrics. We then evaluate three models for generating responses: a syntax-aware rule-based system, a seq2seq LSTM neural models with attention (S2SA), and the same neural model augmented with a copy mechanism (S2SA+C). In a human evaluation, we find that S2SA+C and the rule-based system are comparable and approach human-generated response quality. In addition, experiences with a live deployment of S2SA+C in a customer support setting suggest that this generation task is a practical contribution to real world conversational agents.

2017

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Position-aware Attention and Supervised Data Improve Slot Filling
Yuhao Zhang | Victor Zhong | Danqi Chen | Gabor Angeli | Christopher D. Manning
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Organized relational knowledge in the form of “knowledge graphs” is important for many applications. However, the ability to populate knowledge bases with facts automatically extracted from documents has improved frustratingly slowly. This paper simultaneously addresses two issues that have held back prior work. We first propose an effective new model, which combines an LSTM sequence model with a form of entity position-aware attention that is better suited to relation extraction. Then we build TACRED, a large (119,474 examples) supervised relation extraction dataset obtained via crowdsourcing and targeted towards TAC KBP relations. The combination of better supervised data and a more appropriate high-capacity model enables much better relation extraction performance. When the model trained on this new dataset replaces the previous relation extraction component of the best TAC KBP 2015 slot filling system, its F1 score increases markedly from 22.2% to 26.7%.

2016

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Combining Natural Logic and Shallow Reasoning for Question Answering
Gabor Angeli | Neha Nayak | Christopher D. Manning
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Neha Nayak | Gabor Angeli | Christopher D. Manning
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP

2015

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A large annotated corpus for learning natural language inference
Samuel R. Bowman | Gabor Angeli | Christopher Potts | Christopher D. Manning
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Leveraging Linguistic Structure For Open Domain Information Extraction
Gabor Angeli | Melvin Jose Johnson Premkumar | Christopher D. Manning
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

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Robust Subgraph Generation Improves Abstract Meaning Representation Parsing
Keenon Werling | Gabor Angeli | Christopher D. Manning
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

2014

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NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli | Christopher D. Manning
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Combining Distant and Partial Supervision for Relation Extraction
Gabor Angeli | Julie Tibshirani | Jean Wu | Christopher D. Manning
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

2013

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Philosophers are Mortal: Inferring the Truth of Unseen Facts
Gabor Angeli | Christopher Manning
Proceedings of the Seventeenth Conference on Computational Natural Language Learning

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Language-Independent Discriminative Parsing of Temporal Expressions
Gabor Angeli | Jakob Uszkoreit
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Parsing Time: Learning to Interpret Time Expressions
Gabor Angeli | Christopher Manning | Daniel Jurafsky
Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

2010

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A Simple Domain-Independent Probabilistic Approach to Generation
Gabor Angeli | Percy Liang | Dan Klein
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing