Статистические парсеры

method ID: statisticalparsers

Related Papers

Exploiting Diversity in Natural Language Processing: Combining Parsers

Authors: nan

Publication: TIPSTER (1999)

DOI: nan

Three state-of-the-art statistical parsers are com- bined to produce more accurate parses, as well as new bounds on achievable Treebank parsing accu- racy. Two general approaches are presented and two …...

43402

Bootstrapping statistical parsers from small datasets

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

We present a practical co-training method for bootstrapping statistical parsers using a small amount of manu- ally parsed training material and a much larger pool of raw sentences. Experi- mental …...

43541

Detecting Parser Errors Using Web-based Semantic Filters

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

NLP systems for tasks such as question answering and information extraction typ- ically rely on statistical parsers. But the ef- ficacy of such parsers can be surprisingly low, particularly for …...

44811

Learning Reliable Information for Dependency Parsing Adaptation

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our …...

6778

Top-Down Nearly-Context-Sensitive Parsing

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

We present a new syntactic parser that works left-to-right and top down, thus maintaining a fully-connected parse tree for a few alternative parse hypotheses. All of the commonly used statistical …...

44523

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

State-of-the-art statistical parsers and POS taggers perform very well when trained with large amounts of in-domain data. When train- ing data is out-of-domain or limited, accuracy degrades. In this paper, …...

44057

Learnability-Based Syntactic Annotation Design

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

There is often more than one way to represent syntactic structures, even within a given formalism. Selecting one representation over another may affect parsing performance. Therefore, selecting between alternative syntactic …...

5976

Constituency Parsing of Bulgarian: Word- vs Class-based Parsing

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIn this paper, we report the obtained results of two constituency parsers trained with BulTreeBank, an HPSG-based treebank for Bulgarian. To reduce the data sparsity problem, we propose using the …...

15996

Generalizing a Strongly Lexicalized Parser using Unlabeled Data

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Statistical parsers trained on labeled data suffer from sparsity, both grammatical and lexical. For parsers based on strongly lexicalized grammar formalisms (such as CCG, which has complex lexical cate- gories …...

43567

Grammatical Relations in Chinese: GB-Ground Extraction and Data-Driven Parsing

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper is concerned with building linguistic re- sources and statistical parsers for deep grammatical relation (GR) analysis of Chinese texts. A set of linguistic rules is defined to explore …...

40596