WikiQA
Related Papers
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 …...
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents
Most current chatbot engines are designed to reply to user utterances based on exist- ing utterance-response (or Q-R)1 pairs. In this paper, we present DocChat, a novel information retrieval approach …...
Question Generation for Question Answering
AbstractThis paper presents how to generate questions from given passages using neural networks, where large scale QA pairs are automatically crawled and processed from Community-QA website, and used as training …...
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 …...
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching
AbstractIn this work, we propose an aggregation method to combine the Bidirectional Encoder Representations from Transformer (BERT) with a MatchLSTM layer for Sequence Matching. Given a sentence pair, we extract …...
Alignment over Heterogeneous Embeddings for Question Answering
AbstractWe propose a simple, fast, and mostly-unsupervised approach for non-factoid question answering (QA) called Alignment over Heterogeneous Embeddings (AHE). AHE simply aligns each word in the question and candidate answer …...
Cross-sentence Pre-trained Model for Interactive QA matching
AbstractSemantic matching measures the dependencies between query and answer representations, it is an important criterion for evaluating whether the matching is successful. In fact, such matching does not examine each …...
Exploiting WordNet Synset and Hypernym Representations for Answer Selection
AbstractAnswer selection (AS) is an important subtask of document-based question answering (DQA). In this task, the candidate answers come from the same document, and each answer sentence is semantically related …...
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks
AbstractMany pairwise classification tasks, such as paraphrase detection and open-domain question answering, naturally have extreme label imbalance (e.g., 99.99% of examples are negatives). In contrast, many recent datasets heuristically choose …...
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 …...