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ACL2015読み会@すずかけ台

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概要

• 内容: ACL-IJCNLP 2015で発表された論文を読む (+ BBQ)
• 場所: 東京工業大学すずかけ台キャンパスR2大会議室(6階)
• 日時: 2015年8月24日(月) 10:00-18:00 (+ BBQ: 18:00-)

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参加者

• 笹野、菊池、林、上垣外、渡邉、石垣、馬緤、瀧本、菅原、小町(首都大)、梶原(首都大)、西川(東工大)、横野(NII)、古宮(茨城大)、橋本(東大)、江里口(東大)、佐藤(名工大)、田中(お茶大) [=発表者:18名]
• 高村、田中、榊原、山崎、マリア、目黒、長谷川、安部(お茶大)、樺山(お茶大)、熊谷(お茶大)、濱園(お茶大)、亀甲(東大)、中須賀(東大)、村上(東大) [=聴講者:14名]

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プログラム

• 10:00-10:05: Opening [pdf]
• 10:05-11:05: Session 1: Linguistics
  • Unsupervised Prediction of Acceptability Judgements [笹野, pdf]
  • Learning the Semantics of Manipulation Action [横野, pdf]
  • Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction [田中, pdf]
• 11:15-12:15: Session 2: Parsing
  • Neural CRF Parsing [菅原, pdf]
  • Transition-Based Dependency Parsing with Stack Long Short-Term Memory [林, pdf]
  • Identifying Cascading Errors using Constraints in Dependency Parsing [馬緤, link]
• 13:20-14:20: Session 3: Information Retrieval / Information Extraction
  • Learning to Explain Entity Relationships in Knowledge Graphs [渡邉, pdf]
  • Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction [古宮, pptx]
  • Omnia Mutantur, Nihil Interit: Connecting Past with Present by Finding Corresponding Terms across Time [瀧本, pdf]
• 14:30-15:30: Session 4: Discourse / Conversation
  • Entity-Centric Coreference Resolution with Model Stacking [小町, pptx, link]
  • Machine Comprehension with Discourse Relations [西川, pdf]
  • Weakly Supervised Role Identification in Teamwork Interactions [石垣, pdf]
• 15:50-16:50: Session 5: Semantics
  • Adding Semantics to Data-Driven Paraphrasing [梶原, pdf]
  • Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model [橋本, pdf]
  • Robust Subgraph Generation Improves Abstract Meaning Representation Parsing [江里口, link]
• 17:00-18:00: Session 6: Neural Networks
  • Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces [佐藤, link]
  • Encoding Source Language with Convolutional Neural Network for Machine Translation [上垣外, pdf]
  • Structured Training for Neural Network Transition-Based Parsing [菊池, link]

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