review boguraev pustejovsky branimir boguraev james pustejovsky 1996 corpus processing lexical acquisition mit press cambridge massachusetts 245 pages 32 50 term acquisition title book refers automatic learning acquisition human children natural language systems papers book deal topic building refining lexica natural language systems automatically e computer little human intervention large corpora building lexica natural language systems hand difficult expensive laborintensive result may date completed furthermore standards earlier systems lexica become enormous continuous speech dictation systems ship active vocabularies range 30 000 lexical items lexica production one company expected 200 000 entries american english 700 000 entries german industrial point view work automatic acquisition lexical knowledge welcome say automatic lexical acquisition interest applied linguists lexical information also necessary psycholinguistic research work volume shows application furthermore sorts data researchers field attempting acquire sort data needed largescale applications formalisms like head driven phrase structure grammar work described book interest academic well industrial linguists book result workshop usual scattering topics seen proceedings seen feature bug result something everyone various papers come fields corpus linguistics statistical analysis language psycholinguistics rule acquisition semantics lexical acquisition papers divided five broad categories 1 unknown words 2 building representations 3 categorization 4 lexical semantics 5 evaluation addition paper editors lays reasons challenges automatic acquisition lexical information 1 introduction issues textbased lexicon acquisition branimir boguraev james pustejovsky paper presents indepth answer question lexicon builders perenially plagued anyone try explain work use online dictionary short answer dictionaries static evolve pace language attempting describe long answer natural language systems require information reflected traditional dictionariessemantic feature geometries subcategorization frames fundamental problem lexical acquisition provide fully adequately systems lexical knowledge need operate proper degree efficiency answer community converging today extract lexicon texts 3 automatic lexical acquisition trivially solve shortanswer problem allowing updating frequently new data acquired importantly allows linguist define questions would like lexicon answer rather questions chosen dictionary maker 2 dealing unknown words consider spellchecking program encounters unknown word horowitz spell checker would like know best action take word misspelling replaced something else precious datum added lexicon spellchecker asks user papers section discuss attempts answer questions automatically linguists tend pay much attention proper nouns mcdonald puts epigram paper volume proper names rodney dangerfield linguistics nt get respect 21 thus might surprise reader find three papers section deal names identification classification names fact considerable interest natural language systems relatively uninflected languages like english names may constitute majority unknown words encountered corpus names raise special issues classification including facts may multiple forms multiple forms may referent single text raising problems reference coindexation less theoretically interesting less morally legally compelling level may require special treatment corpus instance proper names routinely removed medical data may need removed sociolinguistic data well internal external evidence identification semantic categorization proper names david mcdonald paper written language artificial intelligence describes proper name facility sparser system describes use contextsensitive rewrite rules analyze external evidence proper names e g combinatorial properties surprising impressive aspect system described use stored lists proper nouns identifying unknown proper names newswire text inderjeet mani richard macmillan paper describes method using contextual clues appositives name daughter prominent local physician niloticist great repute name felicity conditions identifying names contextual clues tapped data referents names categorizing standardizing proper nouns efficient information retrieval woojin paik elizabeth liddy edmund yu mary mckenna paper deals discovering encoding relationships groups members paik et al state problem follows proper nouns important sources information detecting relevant document information retrieval group proper nouns e g middle east group common nouns e g third world match constituents unless group entity mentioned document 61 problem allow search health care third world find document health care nicaragua paper includes short useful discussion problems arise respect prepositions noun phrases containing proper nouns parsed common noun phrases authors solved problem changing ordering two bracketing routines 3 building representations customizing lexicon better suit computational task marti hearst hinrich schuetze mentioned lexicon building expensive paper describes method reducing development costs customizing preexisting lexicon rather building new one project described uses preexisting lexicon wordnet online lexicon contains information semantic relationships hypernymy hyponymy etc customized reducing resolution semantic hierarchies simple categories combining categories distant parts hierarchy interested finding grouping terms contribute frame schemalike representation achieved finding associational lexical relations among existing taxonymic relations 79 crucially relations derived particular corpus paper includes nice description algorithm used collapsing semantic categories towards building contextual representations word senses using statistical models claudia leacock geoffrey towell ellen voorhees paper describes method differentiating amongst multiple senses polysemous word authors discuss using topical context content words occurring vicinity local context includes content words function morphemes word order syntactic structure test three methods acquiring topical context bayesian context vector neural network also give results psycholinguistic experiment comparing human performance machine performance given topical contexts created three types classifiers local context acquisition based acquiring templates specific sequences words paper gives particularly nice description algorithms clearly written suitable presentation courses statistics psycholinguistics 4 categorization context driven conceptual clustering method verb classification roberto basili maria teresa pazienza paola velardi paper describes method categorizing verbs respect thematic roles drawing cobweb ariosto _ lex systems aim categorization without relying defining features categorize respect domain discourse authors describe algorithms paper nice literature review covering psycholinguistic computational perspectives classification distinguished usage scott waterman paper tackles syntax semantics interface author attempts give linguistic grounding systems map text knowledge base means pattern matching relating lexical patternbased approaches lexical semantic framework generative lexicon theory pustejovsky 1991 aim provide basis patternbased understanding systems understood conventional linguistic terms main contention framework developed viewing lexical patterns structural mappings text denotation compositional lexical semantics obviating need separate syntactic semantic analysis 144 paper features excellent presentation background ideas explication issues discusses 5 lexical semantics detecting dependencies semantic verb subclasses subcategorization frames text corpora victor poznanski antonio sanfilippo paper describes suite programs elicit dependencies semantic verb classes subcategorization frames using machine readable thesauri assist semantic tagging texts 176 system uses commercially available thesauruslike online lexicon semantic tagging subcategorization frame automatically extracted subcategorization frames analyzed classified acquiring predicateargument mapping information multilingual texts chinatsu aone douglas mckee authors hold predicateargument mapping equivalent conceptual representation clearly important language understanding paper volume deals bilingual corpora 6 evaluating acquisition evaluation techniques automatic semantic extraction comparing syntactic window based approaches gregory grefenstette paper proposes techniques comparing knowledgepoor approaches determining degree semantic similarity two words syntaxbased method compared windowing technique syntaxbased method shown perform better highfrequency words windowing method better performer lowfrequency words conclusion means introductory text automatic lexical acquisition nonetheless volume contains papers appeal workers variety linguistic disciplines reviewer k bretonnel cohen linguist voice input technologies dublin ohio responsibilities include construction tools lexicon building analysis