CS291K - Schedule

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April 4/6: General Introduction/Exam
April 11/13: Information Extraction (Named Entity Recognition, Entity Linking, Co-reference Resolution)
   Effective Word Representation for Named Entity Recognition https://web.stanford.edu/class/cs224n/reports/2731326.pdf (this also demo how to write a project report)
   Improving Coreference Resolution by Learning Entity-Level Distributed Representations, https://arxiv.org/abs/1606.01323 (code, https://github.com/clarkkev/deep-coref)
   Joint Learning of Local and Global Features for Entity Linking via Neural Networks, http://www.aclweb.org/anthology/C/C16/C16-1218.pdf
   Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation, nlp.cs.rpi.edu/paper/dnnel.pdf

April 18/20: Information Extraction (Relation Extraction)
   Neural Relation Extraction with Selective Attention over Instances, https://github.com/thunlp/NRE (Yi Ding)
   Relation Extraction: Perspective from Convolutional Neural Networks, http://www.aclweb.org/anthology/W/W15/W15-1506.pdf (Yi Ding)

   Comparing Convolutional Neural Networks to Traditional Models for Slot Filling, https://arxiv.org/abs/1603.05157 (Sanjana)
   Classifying relations by ranking with convolutional neural networks, https://arxiv.org/pdf/1504.06580 (Sanjana)

April 25: Information Extraction (Event Detection)
   Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks,     https://pdfs.semanticscholar.org/ca70/480f908ec60438e91a914c1075b9954e7834.pdf (Fangbo Zhang)
   Joint Event Extraction via Recurrent Neural Networks, http://www.aclweb.org/anthology/N/N16/N16-1034.pdf (Fangbo Zhang)
   A Language-Independent Neural Network for Event Detection, http://nlp.cs.rpi.edu/paper/dnnevent2016.pdf (Fangbo Zhang)

April 27/May 2: Text-based Question Answering (April 27 proposal due in class.)

A Hierarchical Neural Autoencoder for Paragraphs and Documents, https://arxiv.org/abs/1506.01057 (Izzeddin)

SQuAD: 100,000+ Questions for Machine Comprehension of Text, https://arxiv.org/pdf/1606.05250.pdf (Izzeddin)

Dynamic Coattention Networks For Question Answering, https://arxiv.org/abs/1611.01604 (Izzeddin)

Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain
Factoid Question Answering, https://arxiv.org/abs/1607.06275 (Pedro M. Sosa)

Reading wikipedia to answer open-domain questions, https://arxiv.org/abs/1704.00051 (Pedro M. Sosa)

May 4/9: Knowledge Base Question Answering

Character-Level Question Answering with Attention, https://arxiv.org/abs/1604.00727 (Yun)

Learning to Answer Questions from Wikipedia Infoboxes, groups.csail.mit.edu/infolab/publications/Morales-EMNLP2016.pdf (Yun)

Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision, https://arxiv.org/abs/1611.00020 (Semih)

Learning to Compose Neural Networks for Question Answering, https://arxiv.org/abs/1601.01705 (Semih)

May 11/16: Community Question Answering

Finding Similar Questions in Large Question and Answer Archives, maroo.cs.umass.edu/pdf/IR-442.pdf (Abhay Chennagiri)

Improved Representation Learning for Question Answer Matching, www.aclweb.org/anthology/P16-1044 (Abhay Chennagiri)

Convolutional Neural Network Architectures for Matching Natural Language Sentences. https://arxiv.org/abs/1503.03244

Bilateral Multi-Perspective Matching for Natural Language Sentences, https://arxiv.org/abs/1702.03814 (Kirti Bhandari)

Neural Paraphrase Identification of Questions with Noisy Pretraining, https://128.84.21.199/abs/1704.04565 (Kirti Bhandari)

May 18: Text Summary

Abstractive text summarization using sequence-to-sequence rnns and beyond, https://arxiv.org/abs/1602.06023 (Furkan Kocayusufoglu)

Neural summarization by extracting sentences and words, https://arxiv.org/abs/1603.07252 (Furkan Kocayusufoglu)

May 23/25: Memory Network/Reasoning

Memory Network, https://arxiv.org/abs/1410.3916 (Keqian Li)

End-To-End Memory Networks, https://arxiv.org/abs/1503.08895 (Keqian Li)

Memory Networks for Language Understanding, www.thespermwhale.com/jaseweston/icml2016/icml2016-memnn-tutorial.pdf

Long short-term memory-networks for machine reading, https://arxiv.org/abs/1601.06733 (Alvin Oliver Glova)
Automatic Rule Extraction from Long Short Term Memory Networks, https://arxiv.org/abs/1702.02540 (Alvin Oliver Glova)

1612.03969

May 30: Generative Adversarial Networks in Text

Infogan: Interpretable representation learning by information maximizing generative adversarial nets https://arxiv.org/abs/1606.03657 (Xiaoyong Jin)

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets https://arxiv.org/abs/1703.04887 (Xiaoyong Jin)

May June 1: Dialog System

A Persona-Based Neural Conversation Model, https://arxiv.org/pdf/1603.06155 (Dylon Stow)

Learning End-to-End Goal-Oriented Dialog, https://arxiv.org/abs/1605.07683 (Dylon Stow)

June 6/8 Project Presentation (June 10 11:59pm final report due, email the report/code/datat link, or a link to github)

June 6 Presentation: Pedro M. SoSa, Alvin Glova/Dylan Stow, Yun Zhao, Keqian Li, Sanjana Sahayaraj (15 minutes per team)

June 8 Presentation: Fangbo Zhang, Kirti Bhandari , Abhay Chennagiri, Xiaoyong Jin, Hanwen Zha, Yi Ding (15 minutes per team)