[PDF] Top 20 Grounded Unsupervised Semantic Parsing
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Grounded Unsupervised Semantic Parsing
... Finally, GUSP recognizes that certain aspects in semantic parsing may not be worth learn- ing using precious annotated examples. These are domain-independent and closed-class expres- sions, such as times ... See full document
11
Zero shot Learning of Classifiers from Natural Language Quantification
... use semantic parsing to map explana- tions to probabilistic assertions grounded in latent class labels and observed attributes of unlabeled data, and leverage the differen- tial semantics of ... See full document
11
Confidence Driven Unsupervised Semantic Parsing
... We formulate semantic parsing as a structured pre- diction problem, mapping a NL input sentence (de- noted x), to its highest ranking MR (denoted z). In order to correctly parametrize and weight the pos- ... See full document
10
Grounded Semantic Parsing for Complex Knowledge Extraction
... plication area for semantic parsing, with great po- tential. Text with valuable information has been undergoing rapid growth across scientific and busi- ness disciplines alike. A prominent example is PubMed ... See full document
11
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
... Recently, unsupervised (also called knowledge-free) methods for acquiring language specific knowledge out of a raw text corpus began to receive more ...for unsupervised algorithms include simulating ... See full document
6
Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions
... learning semantic parsers have received significant attention, ...learning semantic parsers from sentences paired with responses, Krishna- murthy and Mitchell (2012) describe using distant supervision, ... See full document
14
Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
... We have presented a novel generative model capa- ble of probabilistically aligning natural-language sentences to their correct meaning representa- tions given the ambiguous supervision provided by a grounded ... See full document
9
Universal Semantic Parsing
... ing for question answering against a knowledge base. Here, the literature offers two main modeling paradigms: (1) learning of task-specific grammars that directly parse language to a grounded repre- sentation ... See full document
13
An Imitation Learning Approach to Unsupervised Parsing
... in unsupervised parsers that optimize se- mantically oriented objectives, typically us- ing reinforcement ...not grounded in parsing ...to unsupervised parsing, where we transfer the ... See full document
8
Equation Parsing : Mapping Sentences to Grounded Equations
... The work most related to this paper is (Madaan et al., 2016), which focuses on extracting relation triples where one of the arguments is a number. In contrast, our work deals with multiple variables and complex equations ... See full document
10
Grounded Semantic Role Labeling
... the semantic frame for each verb. The ground truth parsing structure is the represen- tation of dependency parsing ...each semantic role (including both explicit roles and implicit roles) of a ... See full document
11
Unsupervised Semantic Parsing
... The MLN above has one problem: it often clusters expressions that are semantically oppo- site. For example, it clusters antonyms like “el- derly/young”, “mature/immature”. This issue also occurs in other ... See full document
10
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
... evaluate unsupervised induction methods has been to compare the assigned supertags to treebanked supertags, but this evaluation does not consider that multiple derivations could lead to the same ... See full document
6
A Bayesian Model for Unsupervised Semantic Parsing
... supervised semantic parsing and propose a Bayesian non-parametric approach which uses hierarchical Pitman-Yor (PY) processes (Pitman, 2002) to model statistical dependencies between predicate and ar- gument ... See full document
11
Unsupervised Dependency Parsing with Acoustic Cues
... an unsupervised system for learning full syntactic ...an unsupervised lexicalized syntactic chunker over a words-only ...dependency parsing, and experiment on transcripts of both spontaneous ADS and ... See full document
12
Concavity and Initialization for Unsupervised Dependency Parsing
... deviation of the accuracy is an alarming 8.3%. In light of this sensitivity to initialization, it is compelling to consider unsupervised models with concave log-likelihood functions, which may pro- vide stable, ... See full document
5
CRF Autoencoder for Unsupervised Dependency Parsing
... dependency parsing, which aims to discover syntactic structures in sentences from un- labeled data, is a very challenging task in natural language ...on unsupervised dependency parsing is based on ... See full document
6
Parsing the Penn Chinese Treebank with Semantic Knowledge
... full parsing technology, semantic knowledge is sel- dom used, though it is known to be useful for resolving syntactic ...disambiguation, semantic knowledge can be incorporated flexibly using different ... See full document
12
Exploiting Reducibility in Unsupervised Dependency Parsing
... in unsupervised de- pendency parsing of the recent years is to employ Dependency Model with Valence (DMV), which was introduced by Klein and Manning ... See full document
11
Frame Semantic Parsing
... containing a little more than 2,000 sentences with full text annotations. The LTH system of Johansson and Nugues (2007), which we use as our baseline (Section 3.4), had the best performance in the SemEval 2007 task in ... See full document
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