18 citations · 44 across the 5 of their papers we have counts for
5 papers
Language Model Pre-training for Hierarchical Document Representations
Ming-Wei Chang, Kristina Toutanova, Kenton Lee +1
Hierarchical neural architectures are often used to capture long-distance dependencies and have been applied to many document-level tasks such as summarization, document segmentati…
Answering Complicated Question Intents Expressed in Decomposed Question Sequences
Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
Recent work in semantic parsing for question answering has focused on long and complicated questions, many of which would seem unnatural if asked in a normal conversation between t…
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Entity linking is the task of identifying mentions of entities in text, and linking them to entries in a knowledge base. This task is especially difficult in microblogs, as there i…
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking
Yi Yang, Ming-Wei Chang
Non-linear models recently receive a lot of attention as people are starting to discover the power of statistical and embedding features. However, tree-based models are seldom stud…
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems
Shyam Upadhyay, Ming-Wei Chang
We propose a new evaluation for automatic solvers for algebra word problems, which can identify mistakes that existing evaluations overlook. Our proposal is to evaluate such solver…