Building a Dictionary of Affixal Negations

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Building a Dictionary of Affixal Negations 1 Chantal van Son, Emiel van Miltenburg, Roser Morante (VU Amsterdam) [email protected] ExProM Workshop @ COLING 2016 Special Session on Negation December 12, 2016 - Osaka, Japan

Transcript of Building a Dictionary of Affixal Negations

Page 1: Building a Dictionary of Affixal Negations

Building a Dictionary of Affixal Negations

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Chantal van Son, Emiel van Miltenburg, Roser Morante (VU Amsterdam)[email protected]

ExProM Workshop @ COLING 2016Special Session on Negation

December 12, 2016 - Osaka, Japan

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Introduction: Affixal negations

• Words marked with negative affix; typically flag the absence of particular features

• English: un-, in-, dis-, a-, an-, non-, im-, il-, ir-, -lesse.g. unable, disagree, impossible

• Automatic detection could benefit NLP tasks such as text mining, recognizing textual entailment, paraphrasing and QA

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Introduction: Affixal negations

• Blanco & Moldovan (2011): very difficult to detect without substantial false positive rate • how to distinguish between ineffective and invite?

—> check whether word is still valid after removing prefix: how to prevent inform from being annotated?

• how do deal with ambiguity: invalid (a) vs. invalid (n)?

• Automatic detection might benefit from dictionary-based approach

3 Eduardo Blanco and Dan Moldovan. 2011. Some issues on detecting negation from text. In Proceedings of the24th International Florida Artificial Intelligence Research Society Conference , pages 228–233.

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Overview of today’s talk

1. Defining lexical negation 1. affixal negations and regular antonyms 2. typology of affixal negations (Joshi 2012)

2. Building a negation dictionary (preliminary study) 1. annotation tasks 2. evaluation

3. Discussion & Conclusion

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Defining lexical negation

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Affixal negation

• Morante and Daelemans (2012): annotation of (affixal) negation in two Conan Doyle stories

• Main goal: to annotate information relative to the negative polarity of an event (negation + scope)

• ‘Narrow’ definition: only annotated if they are direct antonyms of their non-affixed base • unclear (not clear) • disappear (*not appear), unspoken (*not spoken)

• What is considered an affixal negation should depend on the task at hand

6 Roser Morante and Walter Daelemans. 2012. Conan Doyleneg: Annotation of negation in Conan Doyle stories.In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC) .

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Semantic categories (Joshi 2012)

• Joshi (2012): distinction between direct and indirect affixal negations

• Direct: direct opposition with its positive counterpart and characterized by the NOT-element (e.g. unhappy)

• Indirect: does not logically negate the existence of its base, yet still maintains a negative connotation (e.g. disconnect, debug)

7 Shrikant Joshi. 2012. Affixal negation – direct, indirect and their subtypes. Syntaxe et semantique, (1):49–63.

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Semantic categories (Joshi 2012)

8 Shrikant Joshi. 2012. Affixal negation – direct, indirect and their subtypes. Syntaxe et semantique, (1):49–63.

Table: Subtypes of indirect negation from (Joshi, 2012, p. 27).

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Relation to regular antonyms

• Full range of lexical opposites • The difference between affixal negations and

regular antonyms is only morphological

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a. distasteful (a ‘true’ affixal negation) b. disgusting (only etymologically an affixal negation) c. dead (a regular antonym)

continuous scale going from explicitly (a) to implicitly (c) marked

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Full range of negation

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Figure: Taxonomy of negations, based on (Joshi, 2012)

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Antonymy in WordNet

• Direct antonymy: a lexical relation between individual lexemes that have clear opposite meanings (wet:dry, clear:unclear)

• Indirect antonymy: results from similarity relations defined for the members of direct antonym pairs (moist:dry, legible:unclear)

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Antonymy in WordNet

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Figure: Similarity and antonymy relations in WordNet, from (Gross and Miller, 1990).

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Building a negation dictionary

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Annotation of WordNet antonyms

• Ideal lexical negation dictionary: regular antonyms + affixal negations specified for their subtypes

• Starting point: all direct antonyms in WordNet (3,557 pairs, including verbs, nouns, adjectives and adverbs)

• We included the following information from WordNet:

• the lemmas of both antonyms • the lemma identifiers of both antonyms • the definitions of both antonyms • the part of speech

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Annotation tasks

• Two expert annotators

• Three annotation tasks

1. Affixal or non-affixal

2. Direct or indirect (if affixal)

3. Subtype: 9 subtypes by (Joshi 2012) + additional label LACKING (if indirect)

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Example of entries

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Table: Simplified examples of entries of affixal negations in the dictionary

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Evaluation: IAA

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Subtask 1:Affixal or non-affixal

Subtask 2:Direct or indirect

Subtask 3:Subtype

n (antonym pairs) n = 500 n = 268 n = 43

Cohen’s kappa 0.80 0.55 0.76

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Evaluation: confusion matrix

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Table: Confusion matrix for the annotation of subtypes

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Evaluation: confusion

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Table: Antonym pairs where both annotators recognized an indirect affixal negation but disagreed on the subtype.

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Discussion

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Discussion: doubt case (1)

fasten:unfasten Reversal of Action fastened:unfastened Direct negation

States expressed by participles (adjectives) with a negative affix can be interpreted as:

A. Indirect negation: a result of the action expressed by its verbal base (unfasten)

B. Direct negation: the opposite of another state, i.e. its antonym (fastened)

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Discussion: doubt case (2)

Another example: spinous:spineless

• Affix -less indicates indirect negation (lacking something) w.r.t. its base spine

• But: spineless is direct negation w.r.t. spinous

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Discussion

• Two options to consider for annotation:

A. relation between affixed form and its base (spine:spineless)

B. relation between two members of antonym pair (spinous:spineless)

• In case of (a): what exactly should be considered the base? E.g. unfastened: fastened vs. fasten

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Discussion

• A negation dictionary is only as good as its coverage

• Affixal negation is productive phenomenon; what could be a fallback strategy? —> training a classifier for detection and classification

• We still need to think about what relations this classifier should learn (annotation guidelines)

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Conclusion

• Set out the full scope of (lexical) negation

• Explored the possibility of an affixal negation/regular antonyms dictionary to support automatic detection

• Preliminary study: annotated WordNet’s direct antonym pairs

• No definite solution, but we hope it contributes its share to the discussion by highlighting some of the main issues to be considered

• The annotations are openly available at: https://github.com/cltl/lexical-negation-dictionary

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Thank you for your attention

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[email protected]

This work was supported by the Amsterdam Academic Alliance Data Science (AAA-DS) ProgramAward to the UvA and VU Universities, and by the Netherlands Organization for Scientific Research(NWO) via the Spinoza-prize awarded to Piek Vossen (SPI 30-673, 2014-2019).