[PDF] Top 20 Large scale Semantic Parsing without Question Answer Pairs
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Large scale Semantic Parsing without Question Answer Pairs
... a semantic parser that does not require example annotations or question-answer pairs but instead learns from a large knowledge base (KB) and web-scale cor- ...a large ... See full document
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Large Scale Semantic Indexing and Question Answering in Biomedicine
... the semantic in- dexing task, we extended our successful ensemble approach of last year with addi- tional ...the question answering task, we extended our approach on fac- toid questions, while we also ... See full document
5
Large scale Semantic Parsing via Schema Matching and Lexicon Extension
... a large majority of the questions appear to be answerable from Freebase, although no instructions were given to restrict questions to this ...a question, paired with a manually-selected word from the ... See full document
11
Combining Lexical Semantic Resources with Question & Answer Archives for Translation Based Answer Finding
... lexical semantic resources to auto- matically train the translation ...are large enough to train domain-independent translation ...collected question-answer pairs and manually-tagged ... See full document
9
CALOR QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
... generate question/answer pairs from a corpus of documents annotated in semantic frames, with the purpose of building a large training corpus for machine reading com- prehension in ... See full document
8
Harvesting Paragraph level Question Answer Pairs from Wikipedia
... articles question-answer pairs that cover content beyond a single sen- ...aids question gen- eration significantly, producing models that outperform the current state-of-the- ...an ... See full document
11
Complex Question Decomposition for Semantic Parsing
... complex question semantic parsing and propose a novel Hierar- chical Semantic Parsing (HSP) method, which utilizes the decompositionality of complex questions for semantic ... See full document
10
Compositional Semantic Parsing on Semi Structured Tables
... murthy and Kollar, 2013; Reddy et al., 2014). Our work leverages open-ended data from the Web through semi-structured tables. There have been several studies on analyzing or inferring the table schemas (Cafarella et al., ... See full document
11
The Value of Semantic Parse Labeling for Knowledge Base Question Answering
... Semantic parsing is the mapping of text to a mean- ing ...build semantic parsers made use of datasets of questions and their associated semantic parses (Zelle and Mooney, 1996; Zettlemoyer and ... See full document
6
Semantic Parsing on Freebase from Question Answer Pairs
... We experimented with two question answering datasets on Freebase. First, on the dataset of Cai and Yates (2013), we showed that our system out- performs their state-of-the-art system 62% to 59%, despite using no ... See full document
12
Modeling Semantic Relevance for Question Answer Pairs in Web Social Communities
... for answer detecting on forum data after fine-tuning, while some related works have reported the results with the precision over 90% (Cong et ...paper, large amount of noise is involved in the forum corpus ... See full document
9
Imitation Learning of Agenda based Semantic Parsers
... Semantic parsing, the task of mapping natural language to semantic representations ...developing question an- swering systems (Zelle and Mooney, 1996; Zettle- moyer and Collins, 2005; Wong and ... See full document
14
Semantic Parsing for Single Relation Question Answering
... scanned the original training corpus to see if there was an exact surface form match of the entity (e.g., dvd-player would map to “DVD player” in the question). If an exact match was found, then the pattern would ... See full document
6
Detecting Nastiness in Social Media
... acter. It is good to see that the classifier has learned to discriminate between neutral and invec- tive words. The most interesting point obtained from this table is that the second-person pronoun is ranked as one of ... See full document
10
Qme! : A Speech based Question Answering system on Mobile Devices
... user’s question and attempt to synthesize a coherent an- swer by aggregating the relevant ...an answer for factoid style ...a large cor- pus of question-answer pairs and ... See full document
9
Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification
... of answer classifiers trained with all combinations of the above models according to dif- ferent values of the cost-factor parameter, adjusting the rate between Precision and ...the answer the sim- ple BOW ... See full document
8
Creating a Research Collection of Question Answer Sentence Pairs with Amazon’s Mechanical Turk
... the question set, i.e. questions that do not have an answer in the document ...the answer in the collection, although it ...valid answer sentence in a document, judged as sup- portive in the ... See full document
5
Semantic Parsing to Probabilistic Programs for Situated Question Answering
... Probabilistic programming languages extend pro- gramming languages with primitives for nondeter- ministic choice (McCarthy, 1963; Goodman and Stuhlm¨uller, 2014). We express logical forms in a probabilistic variant of ... See full document
11
Assessing the Effectiveness of Corpus-Based Methods in Solving SAT Sentence Completion Questions
... each question that was answered incorrectly, we measured the error margin and the error ...correct answer by comparing the scores of the correct answer and the answer selected by the ... See full document
14
Answer Extraction, Semantic Clustering, and Extractive Summarization for Clinical Question Answering
... The nugget evaluation methodology (Voorhees, 2005) developed for scoring answers to com- plex questions is not suitable for our task, since there is no coherent notion of an “answer text” that the user reads ... See full document
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