4,656 research outputs found

    Comprehension, Use Cases and Requirements

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    Within requirements engineering it is generally accepted that in writing specifications (or indeed any requirements phase document), one attempts to produce an artefact which will be simple to comprehend for the user. That is, whether the document is intended for customers to validate requirements, or engineers to understand what the design must deliver, comprehension is an important goal for the author. Indeed, advice on producing ‘readable’ or ‘understandable’ documents is often included in courses on requirements engineering. However, few researchers, particularly within the software engineering domain, have attempted either to define or to understand the nature of comprehension and it’s implications for guidance on the production of quality requirements. In contrast, this paper examines thoroughly the nature of textual comprehension, drawing heavily from research in discourse process, and suggests some implications for requirements (and other) software documentation. In essence, we find that the guidance on writing requirements, often prevalent within software engineering, may be based upon assumptions which are an oversimplification of the nature of comprehension. Furthermore, that these assumptions may lead to rules which detract from the quality of the requirements document and, thus, the understanding gained by the reader. Finally the paper suggests lessons learned which may be useful in formulating future guidance for the production of requirements documentation

    Can pragmatic inference benefit from topic prominence? ERP evidence from Mandarin Chinese

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    This study investigated how pragmatic inference making is modulated by information structure in preceding text. We created three types of two-clause structures in which the interpretation of a critical word in the second clause was dependent on the engagement of pragmatic inference as well as a successful establishment of a referential relation between the target word and an intended antecedent in the preceding text. An enhanced P600 response was elicited by target words when the intended referent was in non-topic position compared to topic position or sub-topic position. Moreover, a reduced N400 was elicited by the target word when the intended referent in the preceding clause was in non-topic position, compared to topic position. These findings suggest that the process of building an inferential relation can benefit from information structural prominence of topicality

    English-style and Chinese-style Topic : A Uniform Semantic Analysis

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    The Importance of Semantics: Visual World Studies on Drawing Inferences and Resolving Anaphors

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    The present thesis investigated the importance of semantics in generating inferences during discourse processing. Three aspects of semantics, gender stereotypes, implicit causality information and proto-role properties, were used to investigate whether semantics is activated elaboratively during discourse comprehension and what its relative importance is in backward inferencing compared to discourse/structural cues. Visual world eye-tracking studies revealed that semantics plays an important role in both backward and forward inferencing: Gender stereotypes and implicit causality information is activated elaboratively during online discourse comprehension. Moreover, gender stereotypes, implicit causality and proto-role properties of verbs are all used in backward inferencing. Importantly, the studies demonstrated that semantic cues are weighed against discourse/structural cues. When the structural cues consist of a combination of cues that have been independently shown to be important in backward inferencing, semantic effects may be masked, whereas when the structural cues consist of a combination of fewer prominent cues, semantics can have an earlier effect than structural factors in pronoun resolution. In addition, the type of inference matters, too: During anaphoric inferencing semantics has a prominent role, while discourse/structural salience attains more prominence during non-anaphoric inferencing. Finally, semantics exhibits a strong role in inviting new inferences to revise earlier made inferences even in the case the additional inference is not needed to establish coherence in discourse. The findings are generally in line with the Mental Model approaches. Two extended model versions are presented that incorporate the current findings into the earlier literature. These models allow both forward and backward inferencing to occur at any given moment during the course of processing; they also allow semantic and discourse/structural cues to contribute to both of these processes. However, while the Mental Model 1 does not assume interactions between semantic and discourse/structural factors in forward inferencing, the Mental Model 2 does assume such a link.Siirretty Doriast

    The role of Comprehension in Requirements and Implications for Use Case Descriptions

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    Within requirements engineering it is generally accepted that in writing specifications (or indeed any requirements phase document), one attempts to produce an artefact which will be simple to comprehend for the user. That is, whether the document is intended for customers to validate requirements, or engineers to understand what the design must deliver, comprehension is an important goal for the author. Indeed, advice on producing ‘readable’ or ‘understandable’ documents is often included in courses on requirements engineering. However, few researchers, particularly within the software engineering domain, have attempted either to define or to understand the nature of comprehension and it’s implications for guidance on the production of quality requirements. Therefore, this paper examines thoroughly the nature of textual comprehension, drawing heavily from research in discourse process, and suggests some implications for requirements (and other) software documentation. In essence, we find that the guidance on writing requirements, often prevalent within software engineering, may be based upon assumptions which are an oversimplification of the nature of comprehension. Hence, the paper examines guidelines which have been proposed, in this case for use case descriptions, and the extent to which they agree with discourse process theory; before suggesting refinements to the guidelines which attempt to utilise lessons learned from our richer understanding of the underlying discourse process theory. For example, we suggest subtly different sets of writing guidelines for the different tasks of requirements, specification and design

    Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All

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    Collective entity disambiguation aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works are primarily based on the underlying assumption that entities within the same document are highly related. However, the extend to which these mentioned entities are actually connected in reality is rarely studied and therefore raises interesting research questions. For the first time, we show that the semantic relationships between the mentioned entities are in fact less dense than expected. This could be attributed to several reasons such as noise, data sparsity and knowledge base incompleteness. As a remedy, we introduce MINTREE, a new tree-based objective for the entity disambiguation problem. The key intuition behind MINTREE is the concept of coherence relaxation which utilizes the weight of a minimum spanning tree to measure the coherence between entities. Based on this new objective, we design a novel entity disambiguation algorithms which we call Pair-Linking. Instead of considering all the given mentions, Pair-Linking iteratively selects a pair with the highest confidence at each step for decision making. Via extensive experiments, we show that our approach is not only more accurate but also surprisingly faster than many state-of-the-art collective linking algorithms

    Anaphora and Discourse Structure

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    We argue in this paper that many common adverbial phrases generally taken to signal a discourse relation between syntactically connected units within discourse structure, instead work anaphorically to contribute relational meaning, with only indirect dependence on discourse structure. This allows a simpler discourse structure to provide scaffolding for compositional semantics, and reveals multiple ways in which the relational meaning conveyed by adverbial connectives can interact with that associated with discourse structure. We conclude by sketching out a lexicalised grammar for discourse that facilitates discourse interpretation as a product of compositional rules, anaphor resolution and inference.Comment: 45 pages, 17 figures. Revised resubmission to Computational Linguistic

    Reading comprehension in adults: component skills; false memories; and judgements of coherence

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    The aim of this thesis was to investigate some of the processes that contribute to the effective comprehension of text in an adult population. The thesis begins with an assessment of component skills that are of theoretical relevance to reading comprehension skill. Experiment One explored the relation between gist-based memory processes and reading comprehension skill. Weaknesses in semantic processing have been shown to contribute to comprehension difficulties both in childhood (e.g. Nation & Snowling, 1999), and adulthood (e.g. Perfetti, Yang & Schmalhoffer, 2007). Weekes, Hamilton, Oakhill & Holliday (2008) used the false memory (DRM) paradigm developed by Deese (1959); Roediger and McDermott (1995) to assess the relation between reading comprehension and memory processes in children. In the DRM, subjects memorise lists of semantically related words (e.g. bed, rest, awake) for later recall. During recall, it is typical to see intrusions of semantically related but non-presented items (e.g. ‘sleep’ is often falsely recalled following presentation of the above). Weekes et al. (2008) found that children with comprehension difficulties produced fewer such intrusions than did good comprehenders, suggesting that poor comprehenders have difficulty extracting the central theme or ‘gist’ from the word lists, a deficit that was attributed to weakness in semantic processing and memory. Experiment One demonstrated that this effect was not replicable in an adult population. Although there is evidence that deficits in semantic processing contribute to reading comprehension difficulties in adulthood, these appear to be too subtle to manifest themselves in the DRM paradigm. In Experiment Two, measures of vocabulary, word-level skills (orthography and decoding), working memory and verbal IQ were taken from a population of young adult readers. These measures were used as predictors of comprehension skill in multiple regression analyses. Moderate support for the Verbal Efficiency/Lexical Quality Hypothesis (Perfetti, 1985; 2007) was obtained, in that word-level skills and vocabulary size accounted for unique portions of variance in comprehension skill. Experiments Three and Four explored the processes involved in on-line reading comprehension and, specifically, in a comprehension task that demanded integration. In both experiments, subjects took part in a coherence judgement task (Ferstl, Guthke & von Cramon, 2002; Ferstl, 2006) in which they had to verify whether two sentences cohered with one another or not. Four conditions that resulted from crossing coherence and cohesion (i.e. the presence of a lexical connection), were used: Coherent and cohesive (where sentences cohered, and a cohesive tie made their coherence explicit); coherent and incohesive (where sentences cohered, but coherence had to be inferred on the basis of pragmatic information rather than lexical cohesion); incoherent and cohesive (where sentences that do not cohere were erroneously linked with a cohesive tie); and incoherent and incohesive (where sentences did not cohere, and were not erroneously linked with a cohesive tie). Typically, the paradigm elicits an interaction between coherence and cohesion in reading times for the second (target) sentence: Targets in coherent and cohesive trials are read more quickly than targets in coherent and incohesive trials; and targets in incoherent and incohesive trials are read more quickly than are targets in incoherent and cohesive trials. Experiment Three replicated this interaction, and demonstrated that variance in its size was predicted by working memory capacity, with high working memory readers showing larger interaction effect sizes than low capacity readers. The interaction was interpreted as a monitoring effect that was triggered by target sentences in the atypical conditions (i.e. incoherent and cohesive; coherent and incohesive). It was proposed that high capacity readers were better able to engage in this monitoring. Experiment Four sought to explore the semantic deficit hypothesis in relation to this effect, with the proposal that efficient semantic processes, rather than working memory capacity, contributed to variance in the size of the interaction. Performance on a semantic fluency task was found to predict unique variance in the size of the interaction effect, over and above that accounted for by working memory capacity. This finding suggests that the effect is better explained by semantic processing than by working memory capacity, and that the interaction may be better described as a semantic elaboration effect rather than a comprehension monitoring effect. The conclusion of this thesis is that reading comprehension in adult readers relies upon efficient and accurate lexical access, comprising both lower-level processes such as accurate word recognition and decoding skill, and higher-level processes of semantic elaboration and integration

    Inferences in the Comprehension of Language

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    Previous research in experimental psychology and artificial intelligence (AI) states that listeners and readers make many inferences in their attempts to understand oral and written discourse. This paper tries to explore the types of inference listeners / readers make to understand language. It also investigates the role of each type in the course of understanding a text. Keywords: Inferences , Comprehension , Artificial Intelligence , Psycholinguistic Theorie
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