Pronominal anaphora resolution in Polish: Investigating online sentence interpretation using eye-tracking

The mechanism of anaphora resolution is subject to large cross-linguistic differences. The most likely reason for this is the different sensitivity of pronouns to the range of factors that determine their reference. In the current study, we explored the mechanism of anaphora resolution in Polish. First, we explored preferences in the interpretation of null and overt pronouns in ambiguous sentences. More specifically, we investigated whether Polish speakers prefer to relate overt pronouns to subject or object antecedents. Subsequently, we tested the consequences of violating this bias when tracing the online sentence-interpretation process using eye-tracking. Our results show that Polish speakers have a strong preference for interpreting null pronouns as referring to subject antecedents and interpreting overt pronouns as referring to object antecedents. However, in online sentence interpretation, only overt pronouns showed sensitivity to a violation of the speaker’s preference for a pronoun-antecedent match. This suggests that null pronoun resolution is more flexible than overt pronoun resolution. Our results indicate that it is much easier for Polish speakers to shift the reference of a null pronoun than an overt one whenever a pronoun is forced to refer to a less-preferred antecedent. These results are supported by naturalness ratings, which showed that null pronouns are considered equally natural regardless of their reference, while overt pronouns referring to subject antecedents are rated as considerably less natural than those referring to object antecedents. To explain this effect, we propose that the interpretation of null and overt pronouns is sensitive to different factors which determine their reference.

Observers use gesture to disambiguate contrastive expressions of preference

We present two studies exploring how participants respond when a speaker contrasts two ideas, then expresses an ambiguous preference towards one of them. Study 1 showed that, when reading a speaker’s preference as text, participants tended to choose whatever was said last as matching the speaker’s preference, reflecting the recent-mention bias of anaphora resolution. In Study 2, we asked whether this pattern changed for audio versions of our stimuli. We found that it did not. We then asked whether observers used gesture to disambiguate the speaker’s preference. Participants watched videos in which two statements were spoken. Co-speech gestures were produced during each statement, in two different locations. Next, an ambiguous preference for one option was spoken. In ‘gesture disambiguating’ trials, this statement was accompanied by a gesture in the same spatial location as the gesture accompanying the first statement. In ‘gesture non-disambiguating’ trials, no third gesture occurred. Participants chose the first statement as matching the speaker’s preference more often for gesture disambiguating compared to non-disambiguating trials. Our findings add to the literature on resolution of ambiguous anaphoric reference involving concrete entities and discourse deixis, and we extend this literature to show that gestures indexing abstract ideas are also used during discourse comprehension.

A Study of Zero Anaphora Resolution in Chinese Discourse: From the Perspective of Psycholinguistics

Anaphora is the main linguistic means to establish discourse coherence, and anaphora resolution is the psychological process to maintain this coherence. Chinese discourse is characterized with providing multiplicity of linguistic clues to readers by employing various referential apparatuses such as pronoun anaphora, zero anaphora, and so on. As a way of avoiding repeated reference to an object that is mentioned beforehand, zero anaphora is frequently employed in discourse. The production and resolution of zero anaphora largely concerns some constraints underlying psychological mechanisms. We particularly focus on zero anaphora resolution in the present study to try to discover some specific aspects of the underlying mechanism, hoping to find out some factors unique to the resolution process. We designed the first two experiments to probe into the psychological reality when participants were presented with sentences containing either pronoun anaphora or zero anaphora or both under discourse condition with topic continuity in Experiment 1a and topic discontinuity in Experiment 1b. We did not find any significant difference in the reaction time between zero anaphora resolution and pronoun anaphora resolution, indicating that zero anaphora possibly works within the processing mechanism on which pronoun anaphora resolution depends. However, we found significantly longer time in reading the first sentence in any of the discourse, showing that the first-mention effect exists in anaphora resolution. We further explored the time course of zero anaphora resolution by measuring the reaction time during the period when participants read sentences that varied according to the location where zero anaphora occurred under two conditions: topic continuity (Experiment 2a) vs. topic discontinuity (Experiment 2b). The strategies of searching for the referential information were found divergent: the exhaustive searching strategy was adopted when the topics within a discourse were kept continuous and the heuristic searching strategy was employed when the topics were discontinuous. The design of Experiment 5 took the factor of voice type and situation consistency into consideration, investigating in what way do those factors influence the resolution of zero anaphora. The voice type, according to the results, plays a significant role for its exclusively close relationship with the first-mention effect.

Resolução anafórica em português europeu L2: efeitos de animacidade e a posição do antecedente

This study investigates the interpretation of subject pronouns in L2 EP by Italian native speakers, to examine the following questions: In overt subject resolution, do L1 Italian - L2 European Portuguese learners behave like L1 EP speakers regarding antecedent animacy (a property at the syntax-semantics interface) at L2 developmental stages and at the near-native level?; When the antecedent in object position is animate, do L1 Italian - L2 EP learners exhibit permanent optionality in the interpretation of overt subject pronouns but not of null subjects, as claimed by Sorace (2016), a.o.? Participants were 15 adult EP native speakers, 10 intermediate, 10 advanced and 10 near-native Italian adult learners of L2 EP. They were administered two multiple-choice tasks (speeded and untimed) with a 2x2 design crossing the following variables: animacy of the matrix object (animate vs. inanimate) and type of embedded pronominal subject (overt vs. null). Results indicate that L2 learners show problems only in the areas where the L1 and the L2 differ (Madeira, Fiéis & Teixeira, this volume), namely: the resolution of overt subjects in the presence of [-animate] object antecedent and the resolution of null subjects. Learners’ performance in these areas remains unstable even at the near-native level. These findings challenge the ideas that internal interfaces (syntax/semantics) are not persistently problematic and that null subjects are unproblematic in L2 anaphora resolution (cf. Sorace, 2011, 2016). They moreover point to the importance of L1 influence in L2 anaphora resolution, a factor generally played down in previous studies (e.g., Sorace, 2016).

Scale to estimate the aspect-oriented sentiment polarity under anaphors influence (SPAI)

PurposeThe purpose of this paper is to handle the anaphors through anaphora resolution in aspect-oriented sentiment analysis. Sentiment analysis is one of the predictive analytics of social media. In particular, the social media platform Twitter is an open platform to post the opinion by subscribers on contextual issues, events, products, individuals and organizations.Design/methodology/approachThe sentiment polarity assessment is not deterministic to conclude the opinion of the target audience unless the polarity is assessed under diversified aspects. Hence, the aspect-oriented sentiment polarity assessment is a crucial objective of the opinion assessment over social media. However, the aspect-oriented sentiment polarity assessment often influences by the curse of anaphora resolution.FindingsFocusing on these limitations, a scale to estimate the aspects oriented sentiment polarity under anaphors influence has been portrayed in this article. To assess the aspect-based sentiment polarity of the tweets, the anaphors of the tweets have been considered to assess the weightage of the tweets toward the sentiment polarity.Originality/valueThe experimental study presents the performance of the proposed model by comparing it with the contemporary models, which are estimating the sentiment polarity tweets under anaphors impact.

Corpus-Based Methods for Recognizing the Gender of Anthroponyms

This paper presents a series of methods for automatically determining the gender of proper names, based on their co-occurrence with words and grammatical features in a large corpus. Although the results obtained were for Spanish given names, the method presented here can be easily replicated and used for names in other languages. Most methods reported in the literature use pre-existing lists of first names that require costly manual processing and tend to become quickly outdated. Instead, we propose using corpora. Doing so offers the possibility of obtaining real and up-to-date name-gender links. To test the effectiveness of our method, we explored various machine-learning methods as well as another method based on simple frequency of co-occurrence. The latter produced the best results: 93% precision and 88% recall on a database of ca. 10,000 mixed names. Our method can be applied to a variety of natural language processing tasks such as information extraction, machine translation, anaphora resolution or large-scale delivery or email correspondence, among others.

Pronominal anaphora resolution in Polish: investigating online sentence interpretation using eye-tracking.

The mechanism of anaphora resolution is subject to large cross-linguistic differences. The most likely reason for this is the different sensitivity of pronouns to pragmatic and syntactic cues of reference. In the current study, we explored the mechanism of anaphora resolution in Polish. First, in an ambiguous sentence-interpretation task, we explored the natural biases that occur during the interpretation of null or overt pronouns. More specifically, we investigated whether Polish speakers prefer to relate overt pronouns to antecedents which are in the syntactic position of a subject or an object. Subsequently, we tested the consequences of violation of this bias when tracing the online sentence-interpretation process using eye-tracking. Our results show that Polish speakers have a strong preference for interpreting null pronouns as referring to antecedents in a subject position and for interpreting overt pronouns as referring to antecedents in an object position. However, in online sentence interpretation, only overt pronouns showed sensitivity to violation of the speaker’s natural preferences for a pronoun-antecedent match. We found the null pronoun resolution to be more flexible than that of overt pronouns. Our results indicate that it is much easier for Polish speakers to shift the reference of a null pronoun than an overt one whenever a pronoun is forced to refer to a less-preferred antecedent. We propose that this is because the interpretation of null and overt pronouns is sensitive to the different cues which determine their reference. Overall, in the Polish language, interpretation of a null pronoun seems to be more sensitive to pragmatic cues of reference than syntactic cues of reference, while resolution of overt pronouns relies strongly on syntax-based cues.

An AI Using Construction Grammar to Understand Text

This paper describes an AI that uses construction grammar (CG)—a means of knowledge representation for deep understanding of text. The proposed improvements aim at more versatility of the text form and meaning knowledge structure, as well as for intelligent choosing among possible parses. Along with the improvements, computational CG techniques that form the implementation basis are explained. Evaluation experiments utilize a Winograd schema (WS)—a major test for AI—dataset and compare the implementation with state-of-the-art ones. Results have demonstrated that compared with such techniques as deep learning, the proposed CG approach has a higher potential for the task of anaphora resolution involving deep understanding of the natural language.