Dan I. Moldovan

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This paper presents an approach for detecting semantic relations in noun phrases. A learning algorithm, called semantic scattering, is used to automatically label complex nominals, genitives and adjectival noun phrases with the corresponding semantic relation. 1 Problem description This paper is about the automatic labeling of semantic relations in noun(More)
Recent TREC results have demonstrated the need for deeper text understanding methods. This paper introduces the idea of automated reasoning applied to question answering and shows the feasibility of integrating a logic prover into a Question Answering system. The approach is to transform questions and answer passages into logic representations. World(More)
The discovery of semantic relations from text becomes increasingly important for applications such as Question Answering, Information Extraction, Text Summarization, Text Understanding, and others. The semantic relations are detected by checking selectional constraints. This paper presents a method and its results for learning semantic constraints to detect(More)
ion#6–abstraction#6 attribute#2–attribute#2 attribute#2–measure#3 attribute#2–relation#1 relation#1–attribute#2 measure#3–measure#3 measure#3–relation#1 time#5–time#5 relation#1–time#5 relation#1–relation#1 magnitude relation#1–magnitude relation#1 part#1–part#1 social relation#1–part#1 communication#2–language unit#1 social relation#1–social relation#1(More)
This paper presents an in-depth analysis of a state-of-the-art Question Answering system. Several scenarios are examined: (1) the performance of each module in a serial baseline system, (2) the impact of feedbacks and the insertion of a logic prover, and (3) the impact of various retrieval strategies and lexical resources. The main conclusion is that the(More)
Th~s paper presents an on-going project mtended to enhance WordNet molpholog~cally and semanttcally The mottvatmn for th~s work steams from the current hm~tat~ons of WordNet when used as a hngmst~c knowledge base We enwmon a software tool that automatically parses the conceptual defining glosses, attributing part-ofspeech tags and phrasal brackets The(More)