TREC QA
Related Papers
Ranking suspected answers to natural language questions using predictive annotation
In this paper, we describe a system to rank sus- pected answers to natural language questions. We process both corpus and query using a new technique, predictive annotation, which aug- …...
The Use of Metadata, Web-derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance
A reading comprehension (RC) system attempts to understand a document and returns an answer sentence when posed with a question. RC resembles the ad hoc question answering (QA) task that …...
Different Structures for Evaluating Answers to Complex Questions: Pyramids Won’t Topple, and Neither Will Human Assessors
The idea of “nugget pyramids” has re- cently been introduced as a refinement to the nugget-based methodology used to evaluate answers to complex questions in the TREC QA tracks. This …...
A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
AbstractComplex Question Answering is a discipline that involves a deep understanding of question/answer relations, such as those characterizing definition and procedural questions and their answers. To contribute to the improvement …...
Answer Extraction as Sequence Tagging with Tree Edit Distance
Our goal is to extract answers from pre- retrieved sentences for Question Answering (QA). We construct a linear-chain Conditional Random Field based on pairs of questions and their possible answer …...
Encoding Semantic Resources in Syntactic Structures for Passage Reranking
In this paper, we propose to use seman- tic knowledge from Wikipedia and large- scale structured knowledge datasets avail- able as Linked Open Data (LOD) for the answer passage reranking …...
WikiQA: A Challenge Dataset for Open-Domain Question Answering
We describe the WIKIQA dataset, a new publicly available set of question and sen- tence pairs, collected and annotated for re- search on open-domain question answer- ing. Most previous work …...
Improved Representation Learning for Question Answer Matching
Passage-level question answer matching is a challenging task since it requires effec- tive representations that capture the com- plex semantic relations between questions and answers. In this work, we propose …...
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge
AbstractAnswer selection is an important but challenging task. Significant progresses have been made in domains where a large amount of labeled training data is available. However, obtaining rich annotated data …...
Self-Training for Jointly Learning to Ask and Answer Questions
AbstractBuilding curious machines that can answer as well as ask questions is an important challenge for AI. The two tasks of question answering and question generation are usually tackled separately …...
A Gated Self-attention Memory Network for Answer Selection
AbstractAnswer selection is an important research problem, with applications in many areas. Previous deep learning based approaches for the task mainly adopt the Compare-Aggregate architecture that performs word-level comparison followed …...
Joint Models for Answer Verification in Question Answering Systems
AbstractThis paper studies joint models for selecting correct answer sentences among the top k provided by answer sentence selection (AS2) modules, which are core components of retrieval-based Question Answering (QA) …...
Recursive Tree-Structured Self-Attention for Answer Sentence Selection
AbstractSyntactic structure is an important component of natural language text. Recent top-performing models in Answer Sentence Selection (AS2) use self-attention and transfer learning, but not syntactic structure. Tree structures have …...