[PDF] Top 20 Towards Domain Adaptation for Parsing Web Data
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Towards Domain Adaptation for Parsing Web Data
... Parsing data from the web is notoriously diffi- cult, as parsers are generally trained on news data (Petrov and McDonald, ...of web data: what is often termed web ... See full document
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Lexical Categories for Improved Parsing of Web Data
... generalizations provided by clustering and/or lemmatization help overcome some of the sparsity problems mentioned initially. We furthermore observe that the delexicalized models including clusters and/or lemmas perform ... See full document
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A Word Clustering Approach to Domain Adaptation: Effective Parsing of Biomedical Texts
... source domain and target domain ...statistical parsing models, without adding the extreme challenges caused by lexical out-of-domain ... See full document
6
Towards Cross Domain PDTB Style Discourse Parsing
... Discourse analysis is one of the most challeng- ing tasks in Natural Language Processing that has applications in many language technology areas such as opinion mining, summarization, informa- tion extraction, etc. (see ... See full document
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Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
... training data was provided in the multilingual track of the CoNLL 2007 shared task, we trained three LR models as ...but parsing is performed backwards, which is accomplished simply by re- versing the input ... See full document
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Domain Adaptation for Medical Text Translation using Web Resources
... the web. This tiny but significant par- allel data are helpful to reduce the out-of- vocabulary words (OOVs) in translation ...monolingual data from the Internet based on domain focused ... See full document
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Combining Active Learning and Partial Annotation for Domain Adaptation of a Japanese Dependency Parser
... We combined partial annotation with active learn- ing to adapt a Japanese dependency parser to new domains, and showed that active learning is not limited to single-domain settings. We showed that an entropy-based ... See full document
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Multilingual Dependency Parsing and Domain Adaptation using DeSR
... sparse data structures (hash maps) so that it can handle efficiently even large feature spaces in a single ...million. Parsing unseen data can be performed at tens of sentences per ... See full document
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Learning Reliability of Parses for Domain Adaptation of Dependency Parsing
... Dependency parsing has been utilized in a variety of natural language processing (NLP) applications, such as paraphrase acquisition, relation extraction and machine ...and web pages, which have commonly ... See full document
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Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks
... target domain. But for syntactic and semantic parsing, people also use a lot of syntactic features, ...dependency parsing (Johans- son and Nugues, ...a data sample using a vector of latent ... See full document
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Reinforced Training Data Selection for Domain Adaptation
... different data and ...get domain, and to guide the selection process with the feedback from the selected samples according to a specific ...training data with respect to the target domain and ... See full document
12
Improved Parsing and POS Tagging Using Inter Sentence Consistency Constraints
... in-domain data. When train- ing data is out-of-domain or limited, accuracy ...training data by exploiting similarities between test set sen- ...for parsing and POS tagging with ... See full document
11
Domain Adaptation with Unlabeled Data for Dialog Act Tagging
... across domain has been investigated by a handful of ...no adaptation was ...across domain and language (French to English) by using utterances that had been pre-processed to extract ...model ... See full document
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Entropy based Training Data Selection for Domain Adaptation
... training data selection is to choose a subset of training data that was similar to a given test data ...source domain and the target ...training data selection for machine translation, ... See full document
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Frustratingly Hard Domain Adaptation for Dependency Parsing
... improving parsing is to mod- ify the feature set, both by removing features less likely to transfer and by adding features that are more likely to ...in-domain data, nouns that occur more often tend ... See full document
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Semi supervised Domain Adaptation for Dependency Parsing
... labeled data, most studies on cross- domain parsing focus on unsupervised domain adaptation, assuming there is no target- domain training ...both domain adaptation ... See full document
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Domain Adaptation for Dependency Parsing via Self Training
... constituency parsing for in-domain and out-of-domain parsing (McClosky et ...on domain adaptation via self-training for constituency parsing (McClosky et ...dependency ... See full document
10
Domain Adaptation for Parsing
... investigate domain adaptation for constituent parsing, in a setting where no labeled data in the target domain is avail- ...source domain for our experiments is the Penn ... See full document
9
Automatic Domain Adaptation for Parsing
... training domain and nearby gen- ...When parsing document collections involving het- erogeneous domains ...the web), the op- timal parsing model for each document is typ- ically not ...of ... See full document
9
Dependency Parsing Domain Adaptation using Transductive SVM
... This formulation essentially models the unlabeled examples the same way the labeled examples are modeled, with the key difference that the y j ∗ (the unknown labels of the unlabeled exam- ples) are optimization variables ... See full document
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