• central in question semantics • (important for logic-guided chatbots) • Proposals: A method to represent focus information and an analysis of English wh-questions in Dependent Type Semantics 4
• NL semantics based on Martin-Löf type theory • Key item: underspecified terms (UTs) 6 John knows that Susan danced. ↦ know(j, dance(s), @) in Tanaka+ ( 2 0 1 7 ) Presup. Susan danced. Previous context requires the previous context to entail @ dance(s)
Watanabe+ 2019, but focus is not covered. • (mention-some) wh-questions are represented as weak- sigma types Who danced? • Informally, a response which entails Someone danced is predicted to be a felicitous answer, regardless of focus ↦ (x : entity) ⊕ dance(x) 7
John likes [Mary]F. • Multiple-wh • Who likes whom? • [John]F likes [Mary]F. 8 • Phrasal focus • What did John do? • John [met Mary]F. • Answers with anaphoric expressions • John likes [him]F.
a standard approach to focus in formal semantics • Two options: • Translate Alternative Semantics into DTS language • Explore a unique approach to DTS 11
a standard approach to focus in formal semantics • Two options: • Translate Alternative Semantics into DTS language • Explore a unique approach to DTS • The latter seems more challenging 12
correspond to focused elements • [John]F likes Mary. SR: FC: • John [likes Mary]F. SR: FC: • FCs for each sentence are obtained in parallel with semantic composition (i.e., CCG derivation) like(j, m) j : e like(j, m) like : e → e → 𝚝 𝚢 𝚙 𝚎 , m : e 15
has an unsolved part • Backward UTs represent that unsolved part • Not an alternative to ordinary underspecified terms, but an additional item 21 Who does John like? } unsolved
@B) SR FC @B : e • is a backward underspecified term • For a SR which contains a backward UT, the type-checking is postponed until the focus context of a response fills the gap. @B
of type e Question “Who does John like?” SR like(j, @B) SR FC like(j, m) m : e FC @B : e 2. -elimination @B like(j, m) 3. entailment? Backward underspecified terms
Who does John like? like(j, @B) SR Response [John]F likes [Mary]F. like(j, m) SR FC 1. proof search OK 2. -elimination @B like(j, m) An example of overfocusing FC @B : e m : e j : e
Who does John like? like(j, @B) SR Response [John]F likes [Mary]F. like(j, m) SR FC 1. proof search OK prediction: incongruent observation: incongruent 2. -elimination @B like(j, m) An example of overfocusing FC @B : e m : e j : e
Who likes whom? like(@B 1 , @B 2 ) SR FC @B 1 : e Response [John]F likes [Mary]F. SR FC @B 2 : e like(j, m) An example of a single-pair answer m : e j : e
Who likes whom? like(@B 1 , @B 2 ) SR FC @B 1 : e Response [John]F likes [Mary]F. SR FC 1. proof search OK prediction: congruent @B 2 : e 3. entailment observation: congruent like(j, m) 2. -elimination @B like(j, m) An example of a single-pair answer (other eliminations are possible, but ommited) m : e j : e
Who does John like? An example of answers with anaphoric expressions Response John likes [him]F. SR FC @ : e like(j, @) Previous context 1. proof search
Who does John like? An example of answers with anaphoric expressions Response John likes [him]F. SR FC @ : e like(j, @) 2. -elimination @ SR FC Previous context 1. proof search t : e like(j, t)
Who does John like? An example of answers with anaphoric expressions Response John likes [him]F. SR FC @ : e like(j, @) 2. -elimination @ SR FC t : e like(j, t) Previous context 1. proof search The remaining procedures are the same as non-anaphoric examples
[Taro]F likes [Susan]F. prediction: incongruent observation: congruent The current analysis cannot capture a pair-list answer Problematic cases (undergeneration) (pointed out by Daiki Matsuoka)
) SR FC @B 1 : e Response [John]F likes [Mary]F, and [Taro]F likes [Susan]F. like(j, m) ∧ like(m, s) SR FC prediction: incongruent @B 2 : e observation: congruent The current analysis cannot capture a pair-list answer Problematic cases (undergeneration) m : e j : e s : e t : e
) SR FC @B 1 : e Response [John]F likes [Mary]F, and [Taro]F likes [Susan]F. like(j, m) ∧ like(m, s) SR FC prediction: incongruent @B 2 : e observation: congruent The current analysis cannot capture a pair-list answer Problematic cases (undergeneration) m : e j : e s : e t : e -elimination @B like(j, m) proof search OK (others ommited)
and [Mary]F is tall. prediction: congruent observation: incongruent FCs lacks positional information Problematic cases (overgeneration) like(j, @B) SR FC @B : e like(j, m) ∧ tall(m) SR FC m : e
which represent focus information • Backward underspecified terms Gaps in wh-questions which are expected to be filled by an answer • Future tasks: Avoiding over/undergeneration, comparison with other systems, … 45
conference on logical aspects of computational linguistics. Springer. 2014. [Rooth 1992] “A theory of focus interpretation”. In: Natural language semantics 1.1 (1992). [Watanabe+ 2019] “Questions in Dependent Type Semantics”. In: Proceedings of the Sixth Workshop on Natural Language and Computer Science. Gothenburg, Sweden: Association for Computational Linguistics, May 2019. 46