Aone et al., 1995 - Google Patents
Automated acquisition of anaphora resolution strategiesAone et al., 1995
View PDF- Document ID
- 8351978558520641491
- Author
- Aone C
- Bennett S
- Publication year
- Publication venue
- Proc. AAAI Spring Symposium on Empirical Methods in Discourse Interpretation and Generation
External Links
Snippet
We describe one approach to build an automatically trainable anaphora resolution system. In this approach, we used Japanese newspaper articles tagged with discourse information as training examples for a machine learning algorithm which employs the C4. 5 decision …
- 238000003066 decision tree 0 abstract description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
- G06F17/279—Discourse representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/274—Grammatical analysis; Style critique
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30716—Browsing or visualization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Aone et al. | Evaluating automated and manual acquisition of anaphora resolution strategies | |
| Hirst et al. | Lexical chains as representations of context for the detection and correction of malapropisms | |
| Marcu | A decision-based approach to rhetorical parsing | |
| US9430742B2 (en) | Method and apparatus for extracting entity names and their relations | |
| Candito et al. | Statistical French dependency parsing: treebank conversion and first results | |
| Aone et al. | Applying machine learning to anaphora resolution | |
| Grohmann et al. | Resuming reflexives | |
| Mitkov et al. | Coreference and anaphora: developing annotating tools, annotated resources and annotation strategies | |
| Moschitti et al. | Open Domain Information Extraction via Automatic Semantic Labeling. | |
| Harabagiu et al. | Multilingual coreference resolution | |
| Carreras et al. | Learning and inference for clause identification | |
| Bejček et al. | Syntactic identification of occurrences of multiword expressions in text using a lexicon with dependency structures | |
| Tufiş et al. | Methodological issues in building the Romanian Wordnet and consistency checks in Balkanet | |
| Versley | Vagueness and referential ambiguity in a large-scale annotated corpus | |
| Fragos et al. | Word sense disambiguation using wordnet relations | |
| Aone et al. | Automated acquisition of anaphora resolution strategies | |
| Kolte et al. | WordNet: a knowledge source for word sense disambiguation | |
| Arthur et al. | Abstractive Summarization Based Question-Answer System For Structural Information | |
| Jaruskulchai | An automatic indexing for Thai text retrieval | |
| Kokkinakis | AVENTINUS, GATE and Swedish lingware | |
| Krueger et al. | Automatically generated daml markup for semistructured documents | |
| Isozaki | An analysis of a high-performance Japanese question answering system | |
| Althobaiti et al. | Identifying named entities on a university intranet | |
| Farkas et al. | Improving a state-of-the-art named entity recognition system using the world wide web | |
| Moens | Using patterns of thematic progression for building a table of contents of a text |