[PDF] Top 20 A Joint Model for Answer Sentence Ranking and Answer Extraction
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A Joint Model for Answer Sentence Ranking and Answer Extraction
... an answer to that question. The goal of answer extrac- tion is to extract a precise answer in the form of a short span of text in one or more of those ...needs. Answer sentence ... See full document
14
Framing QA as Building and Ranking Intersentence Answer Justifications
... 2012), knowledge from structured databases (Tymoshenko and Moschitti 2015), and higher-level semantic information such as question category and focus words (Severyn, Nicosia, and Moschitti 2013). Here, we similarly use ... See full document
43
Summarization with a Joint Model for Sentence Extraction and Compression
... those that assume each dependency decision is in- dependent modulo the global structural constraint that dependency graphs must be trees. Such mod- els are commonly referred to as edge-factored since their parameters ... See full document
9
Answer Extraction by Recursive Parse Tree Descent
... language model of SENNA (Collobert et al., 2011), the Semantic Extraction Neu- ral Network ...the joint probability function of word sequences (Ben- gio and Ducharme, ...language model is ... See full document
9
A Ranking Approach to Extracting Relevant Answer for QA System
... 1. In generating a vote, a user’s attention is influenced by the answer position and appearance, in addition to right answer quality. Previously, these biases are ignored. As a result, the top answers ... See full document
7
A Long Short Term Memory Model for Answer Sentence Selection in Question Answering
... the sentence selection ...and sentence by their dependency ...regression model (Heilman and Smith, 2010) or Conditional Random Fields models (Wang and Manning, 2010; Yao et ...and answer. Re- ... See full document
6
Answer Extraction Techniquefor Question Answering Systems
... neither model can differentiate the phrase of “information access” from that of “access information” in the first phrase “access” is a noun and in the second it is a “verb”(the ordering of information is lost), or ... See full document
6
Automatic Feature Engineering for Answer Selection and Extraction
... answering: answer sentence selection and answer ...and answer sentence pairs with lin- guistic structures enriched by semantic infor- mation, where the latter is produced by auto- matic ... See full document
10
Tackling Adversarial Examples in QA via Answer Sentence Selection
... on answer sentence selection and ...in answer sentence ...to model the similarity between sen- ...pairwise ranking approach to select an answer from multiple candidate ... See full document
6
Answer Extraction as Sequence Tagging with Tree Edit Distance
... candidate sentence as ei- ther Beginning, Inside or Outside (BIO) of an an- ...(TED) model for aligning an answer sentence tree with the ques- tion ...and answer types, is a robust ... See full document
10
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
... the key point to answer the question correctly. Effect of Candidate Number The candidate ex- traction stage takes an important role to decide what information should be focused on further. Therefore, we also test ... See full document
10
Linguistically Based Deep Unstructured Question Answering
... the model to focus on a question and the answer sentence at the same time for phrasal answer ...the model directly and integrate linguistic constituents into the network to help it ... See full document
11
A Probabilistic Answer Type Model
... correct answer appears in the sorted candi- date ...the answer is usually found high in the sorted ...correct answer somewhere in the top N % of their sorted ...the answer type ... See full document
8
Answer Sentence Retrieval by Matching Dependency Paths acquired from Question/Answer Sentence Pairs
... the answer sentence. Each of the answer sentence words is assigned a value between zero and one express- ing its relatedness to the question ... See full document
11
Automatic Coupling of Answer Extraction and Information Retrieval
... Question Answer- ing system is bounded by its Information Re- trieval (IR) front end, resulting in research specif- ically on Information Retrieval for Question An- swering (IR4QA) (Greenwood, 2008; Sakai et ... See full document
7
Al Bayan: An Arabic Question Answering System for the Holy Quran
... The Holy Quran consists of 6236 verses. In our Quranic ontology, each verse must be classified to one or more concepts depending on the semantics of this verse. After adding Quranic Corpus ontology, there were 621 verses ... See full document
8
KSAnswer: Question answering System of Kangwon National University and Sogang University in the 2016 BioASQ Challenge
... This paper describes a question– answering system that returns relevant documents and snippets (with particular emphasis on snippets) from a large med- ical document collection. The system is implemented as part of our ... See full document
5
Learning to Collaborate for Question Answering and Asking
... QG model with QA through incorporating additional QA-specific signal as the loss function, and improving the QA model with QG through adding artificially generated training ...QG model (e.g in terms ... See full document
11
On Committee Representations of Adversarial Learning Models for Question Answer Ranking
... of model itself. The idea is to sample the model at regular intervals during adversarial training, in- cluding the pre-trained model and the fully trained model after adversarial ... See full document
6
Combining Lexical and Semantic based Features for Answer Sentence Selection
... After analyzing the dataset, we get many question-candidate answer pairs. Startring from basic idea, we can take each pair as an independent sample, then construct features from both literal and semantic aspects. ... See full document
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