To avoid giving wrong answers, question answering (QA) models need to know when to
abstain from answering. Moreover, users often ask questions that diverge from the model's …

Abstract Machine reading comprehension with unanswerable questions aims to abstain
from answering when no answer can be inferred. In addition to extract answers, previous …

The KnowItAll system aims to automate the tedious process of extracting large collections of
facts (eg, names of scientists or politicians) from the Web in an unsupervised, domain …

Manually querying search engines in order to accumulate a large bodyof factual information
is a tedious, error-prone process of piecemealsearch. Search engines retrieve and rank …

Our goal is to extract answers from preretrieved sentences for Question Answering (QA). We
construct a linear-chain Conditional Random Field based on pairs of questions and their …

Work on the semantics of questions has argued that the relation between a question and its
answer (s) can be cast in terms of logical entailment. In this paper, we demonstrate how …

Paraphrase recognition is a critical step for natural language interpretation. Accordingly,
many NLP applications would benefit from high coverage knowledge bases of paraphrases …

Abstract Unsupervised Information Extraction (UIE) is the task of extracting knowledge from
text without using hand-tagged training examples. A fundamental problem for both UIE and …

The increasing availability of music in digital format needs to be matched by the
development of tools for music accessing, filtering, classification, and retrieval. The research …

In this paper, we describe our system for SemEval-2015 Task 3: Answer Selection in
Community Question Answering. In this task, the systems are required to identify the good or …