The goal of this seminar is to function as a reading group for topics of interest in NLP. This semester the seminar will focus on topics in semantic parsing, and as a side effect we will encounter various contemporary challenges in Natural Language Processing.
Topic 1 (Lena Dankin): CHILL slides
Zelle and Mooney, 1996 Learning to Parse Database Queries Using Inductive Logic Programming
Tang and Mooney, 2001 Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing
GeoQuery knowledge-base
Topic 2 (Tomer Wolfson): WASP
slides
Ge and Mooney, 2005 A Statistical Model that Integrates Syntax and Semantics
Colling, 1997 Three Generative, Lexicalised Models for Statistical Parsing (background)
Wong and Mooney, 2006 Learning for Semantic Parsing with Statistical Machine Translation
Wong and Mooney, 2007 Learning Synchronous Grammars for Semantic Parsing with Lambda Calculus
Topic 3 (Dor Muhlgay): Learning
slides
Zettlemoyer and Collins, 2005 Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Zettlemoyer and Collins, 2007 Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Collins, 2002 Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms (background)
Topic 4 (Hila Weisman) Representations (4/12)
slides:
Steedman, 1996 A Very Short Introduction to CCG
Liang, 2013 Lambda Dependency-Based Compositional Semantics
Topic 5 (Ben Bogin) Weak supervision (11/12)
slides:
Clarke et al., 2010 Driving Semantic Parsing from the World's Response
Liang et al., 2011 Learning dependency-based compositional semantics
Berant et al., 2013 Semantic Parsing on Freebase from Question-Answer Pairs
Topic 5.5 (Jonathan) Demo (18/12)
Topic 6 (Amir Bar and Roei Herzig) Search (1/1 and 8/1)
slides 1 slides 2:
Berant and Liang, 2015 Imitation Learning of Agenda-based Semantic Parsers
Jiang et al., 2012 Learned Prioritization for Trading Off Accuracy and Speed (background)
Daume et al., 2009 Search-based Structured Prediction (background)
Lee et al., 2016 Global Neural CCG Parsing with Optimality Guarantees
Klein and Manning, 2003 A* Parsing: Fast Exact Viterbi Parse Selection (background)
Topic 7 (Shimi and Ofir) Deep learning (15/1 and 22/1)
slides 1:
Dong and Lapata, 2016 Language to Logical Form with Neural Attention
Jia and Liang, 2016 Data Recombination for Neural Semantic Parsing
Liang et al., 2016 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Misra and Artzi, 2016 Neural Shift-Reduce CCG Semantic Parsing
Liang et al., 2016 Semantic Parsing with Semi-Supervised Sequential Autoencoders
Topic 8 (Meishar) Data (29/1)
slides:
Wang et al, 2016 Building a Semantic Parser Overnight
Wang et al, 2016 Learning Language Games through Interaction