Supertagging: Using Complex Lexical Descriptions in Natural Language Processing (Hardcover)

The last decade has seen computational implementations of large hand-crafted natural language grammars in formal frameworks such as Tree-Adjoining Grammar (TAG), Combinatory Categorical Grammar (CCG), Head-driven Phrase Structure Grammar (HPSG), and Lexical Functional Grammar (LFG). Grammars in these frameworks typically associate linguistically motivated rich descriptions (Supertags) with words. With the availability of parse-annotated corpora, grammars in the TAG and CCG frameworks have also been automatically extracted while maintaining the linguistic relevance of the extracted Supertags. In these frameworks, Supertags are designed so that complex linguistic constraints are localized to operate within the domain of those descriptions. While this localization increases local ambiguity, the process of disambiguation (Supertagging) provides a unique way of combining linguistic and statistical information.

This volume investigates the theme of employing statistical approaches with linguistically motivated representations and its impact on Natural Language Processing tasks. In particular, the contributors describe research in which words are associated with Supertags that are the primitives of different grammar formalisms including Lexicalized Tree-Adjoining Grammar (LTAG).

Contributors: Jens Bäcker, Srinivas Bangalore, Akshar Bharati, Pierre Boullier, Tomas By, John Chen, Stephen Clark, Berthold Crysmann, James R. Curran, Kilian Foth, Robert Frank, Karin Harbusch, Mary Harper, Saša Hasan, Aravind Joshi,Vincenzo Lombardo, Takuya Matsuzaki, Alessandro Mazzei, Wolfgang Menzel, Yusuke Miyao, Richard Moot, Alexis Nasr, Günter Neumann, Martha Palmer, Owen Rambow, Rajeev Sangal, Anoop Sarkar, Giorgio Satta, Libin Shen, Patrick Sturt, Jun’ichi Tsujii, K. Vijay-Shanker, Wen Wang, Fei Xia

過去十年中，我們見證了在形式化框架中對大型手工製作的自然語言語法進行計算實現，例如Tree-Adjoining Grammar (TAG)、Combinatory Categorical Grammar (CCG)、Head-driven Phrase Structure Grammar (HPSG)和Lexical Functional Grammar (LFG)。這些框架中的語法通常將具有語言學動機的豐富描述（Supertags）與單詞相關聯。隨著解析標註的語料庫的可用性，TAG和CCG框架中的語法也被自動提取，同時保持了提取的Supertags的語言相關性。在這些框架中，Supertags的設計使得複雜的語言約束局限於這些描述的範圍內。雖然這種局部化增加了局部的歧義性，但消除歧義的過程（Supertagging）提供了一種將語言和統計信息結合的獨特方式。

本書探討了在具有語言學動機的表示形式中應用統計方法及其對自然語言處理任務的影響。特別是，貢獻者們描述了與不同語法形式主義的基本元素（包括Lexicalized Tree-Adjoining Grammar (LTAG)）相關聯的Supertags的研究。

貢獻者：Jens Bäcker、Srinivas Bangalore、Akshar Bharati、Pierre Boullier、Tomas By、John Chen、Stephen Clark、Berthold Crysmann、James R. Curran、Kilian Foth、Robert Frank、Karin Harbusch、Mary Harper、Saša Hasan、Aravind Joshi、Vincenzo Lombardo、Takuya Matsuzaki、Alessandro Mazzei、Wolfgang Menzel、Yusuke Miyao、Richard Moot、Alexis Nasr、Günter Neumann、Martha Palmer、Owen Rambow、Rajeev Sangal、Anoop Sarkar、Giorgio Satta、Libin Shen、Patrick Sturt、Jun’ichi Tsujii、K. Vijay-Shanker、Wen Wang、Fei Xia。