From the 1 of 33 linked papers with an AI index.
521 citations · 1.5k across the 28 of their papers we have counts for
5 papers · 1 filter
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…
Link Prediction using Embedded Knowledge Graphs
Yelong Shen, Po-Sen Huang, Ming-Wei Chang +1
Since large knowledge bases are typically incomplete, missing facts need to be inferred from observed facts in a task called knowledge base completion. The most successful approach…
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…